I often find myself doing this:
for x in range(x_size):
for y in range(y_size):
for z in range(z_size):
pass # do something here
It depends on what is inside the loop. If dealing with lists, you may be able to use a list comprehension
For the more general case, see this post on itertools.
If you've got numpy
as a dependency already, numpy.ndindex will do the trick ...
>>> for x,y,z in np.ndindex(2,2,2):
... print x,y,z
...
0 0 0
0 0 1
0 1 0
0 1 1
1 0 0
1 0 1
1 1 0
1 1 1
You can use itertools.product:
>>> for x,y,z in itertools.product(range(2), range(2), range(3)):
... print x,y,z
...
0 0 0
0 0 1
0 0 2
0 1 0
0 1 1
0 1 2
1 0 0
1 0 1
1 0 2
1 1 0
1 1 1
1 1 2
Use itertools.product():
import itertools
for x, y, z in itertools.product(range(x_size), range(y_size), range(z_size)):
pass # do something here
From the docs:
Cartesian product of input iterables.
Equivalent to nested for-loops in a generator expression.
...